scholarly journals Association of Obesity, Multiple Chronic Conditions, and Frailty: the National Health and Aging Trends Survey

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 613-613
Author(s):  
John Batsis ◽  
Christian Haudenschild ◽  
Anna Kahkoska ◽  
Rebecca Crow ◽  
David Lynch ◽  
...  
Keyword(s):  
National Health ◽  
Chronic Conditions ◽  
Regression Models ◽  
Overweight And Obesity ◽  
Multiple Chronic Conditions ◽  
Obesity Epidemic ◽  
Logistic Regression Models ◽  
Adjusted Logistic Regression ◽  
Using Data ◽  
The Relationship

Abstract As life expectancy increases, so does the risk of developing multiple chronic conditions (MCC). This is concerning as there is a growing obesity epidemic in older adults which is also associated with developing chronic diseases. Both obesity and MCC also increase the risk of frailty, yet the intersection of the three is not well understood. We evaluated the relationship between obesity, multimorbidity, and frailty using data from adults ≥65 years from the National Health and Aging Trends Survey. Obesity was classified using standard body mass index categories (e.g., ≥30kg/m2) and waist circumference (WC; females≥88cm; males≥102cm). MCC was classified as having ≥2 chronic conditions. Adjusted logistic regression models evaluated the association of BMI or WC categories on MCC (yes/no). An analysis limited to persons with obesity evaluated the relationship between frailty phenotypes (e.g, robust, pre-frail, frail) and MCC. Of the 4,967 participants (59.7% female), 79% resided in a private residence. The 70-79 age category was most prevalent. In those with MCC, there were 1,511 (30.4%) classified as having obesity using BMI, and 3,358 (67.6%) using WC. In those without MCC, there were 287 (17.6%) and 744 (51.7%). Compared to normal BMI, the odds of MCC was 0.71 [0.46,1.09], 1.25 [1.08,1.45] and 2.59 [2.15,3.11] in underweight, overweight and obesity. In pre-frailty and frailty, the odds of MCC were 2.52 [1.77,3.59] and 8.35 [3.7,18.85] in BMI-defined obesity. Using WC, the odds were 2.38 [1.94,2.91], and 5.89 [3.83,9.06]. Obesity using both BMI and WC are both strongly associated with multimorbidity and frailty.

scholarly journals THE MODE CHOICES AND COMMUTING STRESS: EMPIRICAL EVIDENCE FROM JAKARTA AND DENPASAR

2019 ◽  
Vol 7 (1) ◽  
pp. 68
Author(s):  
Ismatulloh Rosida ◽  
Dyah Wulan Sari ◽  
Amelia Dertta Irjayanti
Keyword(s):  
Logistic Regression ◽  
Public Transport ◽  
Regression Models ◽  
Toll Roads ◽  
Multiple Logistic Regression ◽  
Logistic Regression Models ◽  
High Impedance ◽  
Logistic Regressions ◽  
Using Data ◽  
The Relationship

Jabodetabek and Sarbagita have the highest worker commuter population in Indonesia. However, Jabodetabek has various and larger coverage of public transport than Sarbagita. This study also analyzes the relationship between the usage of specific transport modes and commuting stress. Multiple logistic regression models have been estimated using data of both Jabodetabek Commuter Survey and Sarbagita Commuter Survey. Using logistic regressions, the results show that mode choices, gender, and travel time have a significant effect on commuting stress. The analysis also indicates that both in high impedance and low impedance metropolitans, car commuting is perceived to be more stressful than non-car commuting. In a condition of restricted mode choices, commuters who use cars have a greater probability of commuting stress. Furthermore, the findings of this study imply limitation of car usage and as an evaluation of the policy of opening toll roads as a solution to urban congestion.

Neighborhood Disorder, Perceived Social Cohesion, and Social Participation Among Older Americans: Findings From the National Health & Aging Trends Study

2016 ◽  
Vol 30 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Kenzie Latham ◽  
Philippa J. Clarke
Keyword(s):  
National Health ◽  
Social Cohesion ◽  
Social Participation ◽  
Odds Ratio ◽  
Regression Models ◽  
Neighborhood Disorder ◽  
Older Americans ◽  
Logistic Regression Models ◽  
Health Aging ◽  
The Relationship

Objective: This research explores whether physical neighborhood disorder or perceived social cohesion is associated with participation in social activities among older Americans (age 65+). Method: Using the first wave of the National Health & Aging Trends Study (NHATS; N = 6,383), a series of logistic regression models were created to assess the odds of participation. Results: Low social cohesion was associated with decreased odds of visiting friends and family (odds ratio [OR] = 0.65; 95% confidence interval [CI] = [0.52, 0.82]) and participating in organizations (OR = 0.68; 95% CI = [0.53, 0.88]). Presence of neighborhood disorder was associated with decreased odds of visiting friends and family (OR = 0.62; 95% CI = [0.47, 0.82]), participating in organizations (OR = 0.66; 95% CI = [0.48, 0.89]), and going out for enjoyment (OR = 0.68; 95% CI = [0.53, 0.86]). Physical capacity and activity value moderated the relationship between neighborhood disorder/cohesion and attending religious services. Discussion: Improving neighborhood disorder and social cohesion may increase social participation among older adults.

scholarly journals Life course socioeconomic conditions, multimorbidity and polypharmacy in older adults

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
K T Jungo ◽  
B Cheval ◽  
S Sieber ◽  
B W A van der Linden ◽  
A Ihle ◽  
...  
Keyword(s):  
Older Adults ◽  
Chronic Conditions ◽  
Daily Living ◽  
Regression Models ◽  
Smoking Status ◽  
Multiple Chronic Conditions ◽  
Socioeconomic Conditions ◽  
Living Situation ◽  
Lower Odds ◽  
Logistic Regression Models

Abstract Many older adults have multiple chronic conditions (multimorbidity). With multimorbidity often comes the concurrent intake of multiple medications (polypharmacy). Our aims were to assess if childhood socioeconomic conditions (CSC) are associated with multimorbidity and polypharmacy in older adults, and how these associations change when adjusting for adulthood socioeconomic conditions (ASC). We used data from the European longitudinal Survey of Health, Ageing, and Retirement (SHARE), which follows individuals aged 50 years and over in 27 countries since 2004. We analysed data from 35,229 individuals with multimorbidity (mean age: women=64.1, men=65.4) and 20,757 individuals with polypharmacy (mean age: women=69.2, men=70.2). Multimorbidity was defined as 2 or more self-reported chronic conditions and polypharmacy as the intake of 5 or more medications. Confounder-adjusted multilevel logistic regression models were used to analyse associations of CSC (5 categories: most disadvantaged-most advantaged) and ASC with multimorbidity and polypharmacy. All analyses were adjusted for country, age, weight, alcohol consumption, smoking status and physical exercise. In addition, we adjusted the polypharmacy model with the number of chronic conditions, mental health, activities of daily living and living situation. We stratified the analyses by sex. 34% of women had multimorbidity and 26% received polypharmacy. In men, these percentages were 34% and 28%. All categories of CSC (except for disadvantaged CSC in men) were associated with multimorbidity. In both sexes, a higher advantage was associated with lower odds of multimorbidity. In women, advantaged and most advantaged CSC were associated with lower odds of polypharmacy (OR = 0.53, 95% CI 0.31-0.89; OR = 0.48, 95% CI 0.24-0.94). In men, CSC were not associated with polypharmacy. ASC attenuated the association of CSC with multimorbidity among women, but CSC remained associated. In men, CSC were attenuated after adjusting for ASC. Key messages Lower childhood socioeconomic conditions increase the odds of having multiple chronic conditions in older adults. In women, the odds of polypharmacy are marginally linked with CSC. Less disadvantaged socioeconomic conditions in adulthood may allow for compensating a more disadvantaged start in life, particularly in men.

Nut intake and hyperuricemia risk in young adults

2021 ◽  
pp. 1-19
Author(s):  
Chong Wang ◽  
Xiao-fei Guo ◽  
Ting Yang ◽  
Ting Zhao ◽  
Duo Li
Keyword(s):  
Regression Models ◽  
Cross Sectional Study ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Logistic Regression Models ◽  
Pine Nut ◽  
Adjusted Logistic Regression ◽  
The Relationship ◽  
Nut Intake

Abstract Objective: The relationship between dietary nut intake and hyperuricemia risk remains unclear. The aim of this study was to investigate the relationship between different nut intake and hyperuricemia risk with a cross-sectional study. Design: A semi-quantitative food frequency questionnaire (FFQ) was adopted to collect dietary information. Biochemical and anthropometric parameters were measured by standard methods. Multivariate-adjusted logistic regression models were implemented to analyze the relationship between individual nut intake and hyperuricemia risk. Setting: Qingdao University in Shandong Province, China. Participants: During 2018-2019, a total of 14,056 undergraduates (6,862 males and 7,194 females) aged 15-25 years participated in the study. Results: After adjusting for multiple confounding factors, compared with the lowest quartile, the highest quartile intakes of pine nut (95% CI: 0.51, 0.98) was significantly associated with 29% reduction in hyperuricemia risk, the highest quartile intake of walnut (OR = 0.78; 95% CI: 0.58, 1.05) was marginally negatively associated with hyperuricemia risk. Conclusions: The present study showed that the relationships between intakes of different nuts and hyperuricemia risk were different. Increased dietary intake of walnut and pine nut are negatively associated with the hyperuricemia.

Recent Victimization and Recidivism: The Potential Moderating Effects of Family Support

2015 ◽  
Vol 30 (2) ◽  
pp. 342-360 ◽  
Author(s):  
Caitlin J. Taylor
Keyword(s):  
Family Support ◽  
Regression Models ◽  
Violent Offender ◽  
Moderating Effects ◽  
Logistic Regression Models ◽  
Listwise Deletion ◽  
Violent Recidivism ◽  
Using Data ◽  
Violent Offenses ◽  
The Relationship

Although various research confirms an overlap between victims and offenders, much less is known about victimization and recidivism. Using data from the Serious and Violent Offender Reentry Initiative evaluation, this study measures the extent to which the frequency of recent victimization influences recidivism in the 15 months following release from prison. Buffering effects are also investigated by examining whether family support moderates the relationship between victimization and recidivism. After controlling for other known predictors of recidivism, logistic regression models using both listwise deletion and multiple imputation reveal that more frequent victimization significantly increases the likelihood of any self-reported recidivism and has a particularly large effect on violent recidivism for those previously convicted of serious and violent offenses. Even at higher levels of family support, victimization still increases the likelihood of reoffending.

785 Reported Restful Sleep Predicting Emotional Distress: Does Exercise (and its modalities) moderate?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A305-A306
Author(s):  
Jesse Moore ◽  
Ellita Williams ◽  
Collin Popp ◽  
Anthony Briggs ◽  
Judite Blanc ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Aerobic Exercise ◽  
Regression Models ◽  
Regression Analyses ◽  
Logistic Regression Models ◽  
The Past ◽  
Strengthening Exercise ◽  
Waking Up ◽  
The Relationship ◽  
Age And Sex

Abstract Introduction Literature shows that exercise moderates the relationship between sleep and emotional distress (ED.) However, it is unclear whether different types of exercise, such as aerobic and strengthening, affect this relationship differently. We investigated the moderating role of two types of exercise (aerobic and strengthening) regarding the relationship between ED and sleep. Methods Our analysis was based on data from 2018 National Health Interview Survey (NHIS), a nationally representative study in which 2,814 participants provided all data. Participants were asked 1) “how many days they woke up feeling rested over the past week”, 2) the Kessler 6 scale to determine ED (a score >13 indicates ED), and 3) the average frequency of strengthening or aerobic exercise per week. Logistic regression analyses were performed to determine if the reported days of waking up rested predicted level of ED. We then investigated whether strengthening or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Logistic regression analyses were performed to determine if subjective reporting of restful sleep predicted level of ED. We investigated whether strengthening exercise or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Results On average, participants reported 4.41 restful nights of sleep (SD =2.41), 3.43 strengthening activities (SD = 3.19,) and 8.47 aerobic activities a week (SD=5.91.) We found a significant association between days over the past week reporting waking up feeling rested and ED outcome according to K6, Χ2(1) = -741, p= <.001. The odds ratio signified a decrease of 52% in ED scores for each unit of restful sleep (OR = .48, (95% CI = .33, .65) p=<.001.) In the logistic regression model with moderation, aerobic exercise had a significant moderation effect, Χ2(1) = .03, p=.04, but strengthening exercise did not. Conclusion We found that restful sleep predicted reduction in ED scores. Aerobic exercise moderated this relationship, while strengthening exercise did not. Further research should investigate the longitudinal effects of exercise type on the relationship between restful sleep and ED. Support (if any) NIH (K07AG052685, R01MD007716, K01HL135452, R01HL152453)

Abstract 17220: Risk Factors for Recurrent Peripartum Cardiomyopathy in 783 Women in California

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Punag Divanji ◽  
Gregory Nah ◽  
Ian Harris ◽  
Anu Agarwal ◽  
Nisha I Parikh
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Regression Models ◽  
Subsequent Pregnancy ◽  
Peripartum Cardiomyopathy ◽  
Lv Function ◽  
Logistic Regression Models ◽  
Grand Multiparity ◽  
Adjusted Logistic Regression

Introduction: Characterized by significant left ventricular (LV) dysfunction and clinical heart failure (HF), peripartum cardiomyopathy (PPCM) has an incidence of approximately 1/2200 live births (0.04%). Prior studies estimate that approximately 25% of those with recovered LV function will have recurrent clinical PPCM during subsequent pregnancies, compared to 50% of those without recovered LV function. Specific predictors of recurrent PPCM have not been studied in cohorts with large numbers. Methods: From 2005-2011, we identified 1,872,227 pregnancies by International Classification of Diseases, 9th Revision (ICD-9) codes in the California Healthcare Cost and Utilization Project (HCUP) database, which captures over 95% of the California hospitalized population. Excluding 15,765 women with prior cardiovascular disease (myocardial infarction, coronary artery disease, stroke, HF, valve disease, or congenital heart disease), yielded n=1,856,462 women. Among women without prior cardiovascular disease, we identified index and subsequent pregnancies with PPCM to determine episodes of recurrent PPCM. We considered the following potential predictors of PPCM recurrence in both univariate and age-adjusted logistic regression models: age, race, hypertension, diabetes, smoking, obesity, chronic kidney disease, family history, pre-eclampsia, ectopic pregnancy, income, and insurance status. Results: In HCUP, n=783 women had pregnancies complicated by PPCM (mean age=30.8 years). Among these women, n=133 had a subsequent pregnancy (17%; mean age=28.1 years), with a mean follow-up of 4.34 years (±1.71 years). In this group of 133 subsequent pregnancies, n=14 (10.5%) were complicated by recurrent PPCM, with a mean time-to-event of 2.2 years (±1.89 years). Among the risk factors studied, the only univariate predictor of recurrent PPCM was grand multiparity, defined as ≥ 5 previous deliveries (odds ratio: 22; 95% confidence interval 4.43-118.22). The other predictors we studied were not significantly associated with recurrent PPCM in either univariate or multivariable models. Conclusion: In a large population database in California with 783 cases of PPCM over a 6-year period, 17% of women had a subsequent pregnancy, of which 10.5% had recurrent PPCM. In age-adjusted logistic regression models, grand multiparity was the only statistically significant predictor of recurrent PPCM.

Abstract 3775: Average Blood Glucose and Mortality in Patients Hospitalized with Acute Myocardial Infarction

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Mikhail Kosiborod ◽  
Silvio Inzucchi ◽  
Harlan M Krumholz ◽  
Lan Xiao ◽  
Phillip G Jones ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Hospital Mortality ◽  
Regression Models ◽  
Independent Predictor ◽  
Laboratory Data ◽  
Logistic Regression Models ◽  
Average Blood Glucose ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Better Than

Background: Elevated blood glucose (BG) on admission is associated with higher mortality risk in patients (pts) hospitalized with AMI. However, the prognostic value of average BG, which reflects overall glycemic exposure much better than admission BG, is unknown. Furthermore, the nature of the relationship between average BG and mortality has not been determined. Methods: We evaluated a cohort of 16,871 AMI pts hospitalized from January 2000-December 2005, using Cerner Corporation’s Health Facts® database from 40 hospitals, which contains demographics, clinical and comprehensive laboratory data. Logistic regression models evaluated the nature of the relationship between mean BG during the entire AMI hospitalization and in-hospital mortality, after adjusting for multiple patient factors and confounders. Similar analyses were performed in subgroups of pts with and without diabetes (DM). Results: A J-shaped relationship was observed between mean BG and in-hospital mortality, which persisted after multivariable adjustment (Figure ). Mortality increased with each 10 mg/dL incremental rise in mean BG over >120 mg/dL, and with incremental decline in mean BG <80 mg/dL. The slope of these relationships was much steeper in pts without DM. Conclusions: Average BG during the entire AMI hospitalization is a powerful independent predictor of in-hospital mortality. Both persistent hyper- and hypoglycemia are associated with adverse prognosis. Whether strategies directed at optimizing BG control will improve survival remains to be established. Association Between Mean BG and In-Hospital Mortality After Multivariable Adjustment (Reference: Mean BG 100 to <110)

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